add new script

handle.py

@@ -23,10 +23,10 @@ title_arr = [
     "封装"
 ]
 
-logging.basicConfig(level=logging.INFO,
-                    filename=log_path,
-                    format='%(asctime)s - %(filename)s[line:%(lineno)d] - %(levelname)s: %(message)s'
-                    )
+# logging.basicConfig(level=logging.INFO,
+#                     filename=log_path,
+#                     format='%(asctime)s - %(filename)s[line:%(lineno)d] - %(levelname)s: %(message)s'
+#                     )
 
 class Producer:
     def __init__(self):
@@ -55,6 +55,8 @@ class Producer:
 
 """判断传入的字符串是不是数字"""
 def is_number(s: str):
+    if s.lower() == "nan":
+        return False
     try:
         float(s)
         return True
@@ -82,20 +84,32 @@ def resolve(file_name: str, supplier_id: int):
             continue
         if goods_name.strip() == "" or brand_name.strip() == "" or goods_name.strip() == "nan" or brand_name.strip() == "nan":
             continue
-        stock = str(int(df.loc[i, "库存"]))
-        moq = str(int(df.loc[i, "起订量"]))
-        mpq = str(int(df.loc[i, "MPQ(最小包装数量）"]))
+        if not is_number(str(df.loc[i, "库存"])):
+            stock = "0"
+        else:
+            stock = str(int(df.loc[i, "库存"]))
+        if not is_number(str(df.loc[i, "起订量"])):
+            moq = "1"
+        else:
+            moq = str(int(df.loc[i, "起订量"]))
+        if not is_number(str(df.loc[i, "MPQ(最小包装数量）"])):
+            mpq = "0"
+        else:
+            mpq = str(int(df.loc[i, "MPQ(最小包装数量）"]))
+        if not is_number(str(df.loc[i, "增量"])):
+            multiple = "1"
+        else:
+            multiple = str(int(df.loc[i, "增量"]))
         price_is_us = False
         if currency == "USD":
             price_is_us = True
         supp_id = int(supplier_id)
         supplier_name = ""
-        multiple = str(int(df.loc[i, "增量"]))
         batch_sn = {
             str(df.loc[i, "批次"]): int(df.loc[i, "库存"]),
         }
         eccn = ""
-        if str(df.loc[i, "批次"]).strip() == "":
+        if str(df.loc[i, "批次"]).strip() == "" or str(df.loc[i, "批次"]).strip() == "nan":
             batch_sn = {}
         table = {
             "goods_name": goods_name,